Biomedical Engineering / Biomedizinische Technik最新文献_第9页

Real-time classification of movement patterns of tremor patients 震颤患者运动模式的实时分类

IF 1.7 4区医学

Biomedical Engineering / Biomedizinische Technik Pub Date : 2022-02-24 DOI: 10.1515/bmt-2021-0140

Patricia Piepjohn, C. Bald, G. Kuhlenbäumer, J. Becktepe, G. Deuschl, Gerhard Schmidt

{"title":"Real-time classification of movement patterns of tremor patients","authors":"Patricia Piepjohn, C. Bald, G. Kuhlenbäumer, J. Becktepe, G. Deuschl, Gerhard Schmidt","doi":"10.1515/bmt-2021-0140","DOIUrl":"https://doi.org/10.1515/bmt-2021-0140","url":null,"abstract":"Abstract The process of diagnosing tremor patients often leads to misdiagnoses. Therefore, existing technical methods for analysing tremor are needed to more effectively distinguish between different diseases. For this purpose, a system has been developed that classifies measured tremor signals in real time. To achieve this, the hand tremor of 561 subjects has been measured in different hand positions. Acceleration and surface electromyography are recorded during the examination. For this study, data from subjects with Parkinson’s Disease, Essential Tremor, and physiological tremor are considered. In a first signal analysis feature extraction is performed, and the resulting features are examined for their discriminative value. In a second step, three classification models based on different pattern recognition techniques are developed to classify the subjects with respect to their tremor type. With a trained decision tree, the three tremor types can be classified with a relative diagnostic accuracy of 83.14%. A neural network achieves 84.24% and the combination of both classifiers yields a relative diagnostic accuracy of 85.76%. The approach is promising and involving more features of the recorded time series will improve the discriminative value.","PeriodicalId":8900,"journal":{"name":"Biomedical Engineering / Biomedizinische Technik","volume":"67 1","pages":"119 - 130"},"PeriodicalIF":1.7,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86141921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A machine learning approach to identify hand actions from single-channel sEMG signals. 从单通道表面肌电信号中识别手部动作的机器学习方法。

IF 1.7 4区医学

Biomedical Engineering / Biomedizinische Technik Pub Date : 2022-02-22 Print Date: 2022-04-26 DOI: 10.1515/bmt-2021-0072

Chanda Nagarajan Savithri, Ebenezer Priya, Kevin Rajasekar

{"title":"A machine learning approach to identify hand actions from single-channel sEMG signals.","authors":"Chanda Nagarajan Savithri, Ebenezer Priya, Kevin Rajasekar","doi":"10.1515/bmt-2021-0072","DOIUrl":"https://doi.org/10.1515/bmt-2021-0072","url":null,"abstract":"Surface Electromyographic (sEMG) signal is a prime source of information to activate prosthetic hand such that it is able to restore a few basic hand actions of amputee, making it suitable for rehabilitation. In this work, a non-invasive single channel sEMG amplifier is developed that captures sEMG signal for three typical hand actions from the lower elbow muscles of able bodied subjects and amputees. The recorded sEMG signal detrends and has frequencies other than active frequencies. The Empirical Mode Decomposition Detrending Fluctuation Analysis (EMD-DFA) is attempted to de-noise the sEMG signal. A feature vector is formed by extracting eight features in time domain, seven features each in spectral and wavelet domain. Prominent features are selected by Fuzzy Entropy Measure (FEM) to ease the computational complexity and reduce the recognition time of classification. Classification of different hand actions is attempted based on multi-class approach namely Partial Least Squares Discriminant Analysis (PLS-DA) to control the prosthetic hand. It is inferred that an accuracy of 89.72% & 84% is observed for the pointing action whereas the accuracy for closed fist is 81.2% & 79.54% while for spherical grasp it is 80.6% & 76% respectively for normal subjects and amputees. The performance of the classifier is compared with Linear Discriminant Analysis (LDA) and an improvement of 5% in mean accuracy is observed for both normal subjects and amputees. The mean accuracy for all the three different hand actions is significantly high (83.84% & 80.18%) when compared with LDA. The proposed work frame provides a fair mean accuracy in classifying the hand actions of amputees. This methodology thus appears to be useful in actuating the prosthetic hand.","PeriodicalId":8900,"journal":{"name":"Biomedical Engineering / Biomedizinische Technik","volume":"67 2","pages":"89-103"},"PeriodicalIF":1.7,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39640098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Automated detection of clinical depression based on convolution neural network model. 基于卷积神经网络模型的临床抑郁症自动检测。

IF 1.7 4区医学

Biomedical Engineering / Biomedizinische Technik Pub Date : 2022-02-10 Print Date: 2022-04-26 DOI: 10.1515/bmt-2021-0232

Dan-Dan Yan, Lu-Lu Zhao, Xin-Wang Song, Xiao-Han Zang, Li-Cai Yang

{"title":"Automated detection of clinical depression based on convolution neural network model.","authors":"Dan-Dan Yan, Lu-Lu Zhao, Xin-Wang Song, Xiao-Han Zang, Li-Cai Yang","doi":"10.1515/bmt-2021-0232","DOIUrl":"https://doi.org/10.1515/bmt-2021-0232","url":null,"abstract":"As a common mental disorder, depression is placing an increasing burden on families and society. However, the current methods of depression detection have some limitations, and it is essential to find an objective and efficient method. With the development of automation and artificial intelligence, computer-aided diagnosis has attracted more and more attention. Therefore, exploring the use of deep learning (DL) to detect depression has valuable potential. In this paper, convolutional neural network (CNN) is applied to build a diagnostic model for depression based on electroencephalogram (EEG). EEG recordings are analyzed by three different CNN structures, namely EEGNet, DeepConvNet and ShallowConvNet, to dichotomize depression patients and healthy controls. EEG data were collected in the resting state from three electrodes (Fp1, Fz, Fp2) among 80 subjects (40 depressive patients and 40 normal subjects). After the preprocessing step, the DL structures are employed to classify the data, and their recognition performance is evaluated by comparing the classification results. The classification performance shows that depression was effectively detected using EEGNet with 93.74% accuracy, 94.85% sensitivity and 92.61% specificity. In the process of optimizing the parameters of EEGNet structure, the highest accuracy can reach 94.27%. Compared with traditional diagnostic methods, EEGNet is highly worthy for the future depression detection and valuable in terms of accuracy and speed.","PeriodicalId":8900,"journal":{"name":"Biomedical Engineering / Biomedizinische Technik","volume":"67 2","pages":"131-142"},"PeriodicalIF":1.7,"publicationDate":"2022-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39906032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Frontmatter

IF 1.7 4区医学

Biomedical Engineering / Biomedizinische Technik Pub Date : 2022-02-01 DOI: 10.1515/bmt-2022-frontmatter1

引用次数: 0

Biomechanical influence of thread form on stress distribution over short implants (≤6 mm) using finite element analysis. 螺纹形式对短种植体(≤6mm)应力分布的生物力学影响的有限元分析

IF 1.7 4区医学

Biomedical Engineering / Biomedizinische Technik Pub Date : 2022-01-20 Print Date: 2022-02-23 DOI: 10.1515/bmt-2020-0215

Fan Liu, Zhi-Hong Mao, Wujie Peng, Sheng Wen

{"title":"Biomechanical influence of thread form on stress distribution over short implants (≤6 mm) using finite element analysis.","authors":"Fan Liu, Zhi-Hong Mao, Wujie Peng, Sheng Wen","doi":"10.1515/bmt-2020-0215","DOIUrl":"https://doi.org/10.1515/bmt-2020-0215","url":null,"abstract":"The macro and micro design is essential to the biomechanical performance of a short implant. In this study, the implant thread parameters of short implants used in edentulous maxillae will be discussed. The aim of the study is to analyse biomechanical distinctions in different thread parameters over short implants by applying the vertical or oblique load of 130 N on dental prosthesis. A 6*5 mm implant will be used in posterior maxillae arch, where the molar region locates. The CAD model has been assembled by three parts, a crown, an implant system and a jaw. By applying the vertical or oblique load to the crown, the Von-Mises stresses of cortical bone and trabecular bone will be evaluated in pairs along the lines v1-v2 & a1-a2. The results showed that the reverse buttress thread would induce more stresses in cancellous bone whereas the buttress did the opposite. The trapezoidal thread (V-thread) is more favourable than the reverse buttress thread in accordance to the FEA result. The rectangle threads will induce more uneven stresses in cancellous bones.","PeriodicalId":8900,"journal":{"name":"Biomedical Engineering / Biomedizinische Technik","volume":"67 1","pages":"53-60"},"PeriodicalIF":1.7,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39856547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Comparative study of platinum electroplating to improve micro gold electrode arrays with LCP laminate. 镀铂改善LCP层压板微金电极阵列的对比研究。

IF 1.7 4区医学

Biomedical Engineering / Biomedizinische Technik Pub Date : 2022-01-11 Print Date: 2022-02-23 DOI: 10.1515/bmt-2021-0020

Michael Schweigmann, Frank Kirchhoff, Klaus P Koch

引用次数: 0

Stresses and deformations of an osteosynthesis plate in a lateral tibia plateau fracture. 胫骨外侧平台骨折中植骨钢板的应力和变形。

IF 1.7 4区医学

Biomedical Engineering / Biomedizinische Technik Pub Date : 2022-01-10 Print Date: 2022-02-23 DOI: 10.1515/bmt-2021-0166

Matthias Münch, Tobias Barth, Annika Studt, Julius Dehoust, Klaus Seide, Maximilian Hartel, Karl-Heinz Frosch

{"title":"Stresses and deformations of an osteosynthesis plate in a lateral tibia plateau fracture.","authors":"Matthias Münch, Tobias Barth, Annika Studt, Julius Dehoust, Klaus Seide, Maximilian Hartel, Karl-Heinz Frosch","doi":"10.1515/bmt-2021-0166","DOIUrl":"https://doi.org/10.1515/bmt-2021-0166","url":null,"abstract":"This study has the aim to investigate the strain and stress in an anterolateral locking plate applied for the fixation of a lateral split fracture. To simulate a complex fracture situation, three segments were separated. With a FEM analysis, representative places for strain and stress measurement were determined. A locked osteosynthesis plate was instrumented with strain gauges and tested on a fractured and a non-fractured Saw Bone model. To simulate different loading situations, four different points of force application, from the center of the condyles to a 15 mm posterior position, were used with a medial-lateral load distribution of 60:40. The simulations as well as the biomechanical tests demonstrated that two deformations dominate the load on the plate: a bending into posterior direction and a bulging of the plate head. Shifting the point of application to the posterior direction resulted in increasing maximum stress, from 1.16 to 6.32 MPa (FEM analysis) and from 3.04 to 7.00 MPa (biomechanical study), respectively. Furthermore, the comparison of the non-fractured and fractured models showed an increase in maximum stress by the factor 2.06-2.2 (biomechanical investigation) and 1.5-3.3 (FEM analysis), respectively.","PeriodicalId":8900,"journal":{"name":"Biomedical Engineering / Biomedizinische Technik","volume":"67 1","pages":"43-52"},"PeriodicalIF":1.7,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39793682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Analysis of objective quality metrics in computed tomography images affected by metal artifacts. 受金属伪影影响的计算机断层成像客观质量指标分析。

IF 1.7 4区医学

Biomedical Engineering / Biomedizinische Technik Pub Date : 2021-12-28 Print Date: 2022-02-23 DOI: 10.1515/bmt-2020-0244

Yakdiel Rodriguez-Gallo, Ruben Orozco-Morales, Marlen Perez-Diaz

{"title":"Analysis of objective quality metrics in computed tomography images affected by metal artifacts.","authors":"Yakdiel Rodriguez-Gallo, Ruben Orozco-Morales, Marlen Perez-Diaz","doi":"10.1515/bmt-2020-0244","DOIUrl":"https://doi.org/10.1515/bmt-2020-0244","url":null,"abstract":"Image quality (IQ) assessment plays an important role in the medical world. New methods to evaluate image quality have been developed, but their application in the context of computer tomography is yet limited. In this paper the performance of fifteen well-known full reference (FR) IQ metrics is compared with human judgment using images affected by metal artifacts and processed with metal artifact reduction methods from a phantom. Five region of interest with different sizes were selected. IQ was evaluated by seven experienced radiologists completely blinded to the information. To measure the correlation between FR-IQ, and the score assigned by radiologists non-parametric Spearman rank-order correlation coefficient and Kendall's Rank-order Correlation coefficient were used; so as root mean square error and the mean absolute error to measure the prediction accuracy. Cohen's kappa was employed with the purpose of assessing inter-observer agreement. The metrics GMSD, IWMSE, IWPSNR, WSNR and OSS-PSNR were the best ranked. Inter-observer agreement was between 0.596 and 0.954, with p<0.001 in all study. The objective scores predicted by these methods correlate consistently with the subjective evaluations. The application of this metrics will make possible a better evaluation of metal artifact reduction algorithms in future works.","PeriodicalId":8900,"journal":{"name":"Biomedical Engineering / Biomedizinische Technik","volume":"67 1","pages":"1-9"},"PeriodicalIF":1.7,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39770559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A fuzzy sensitivity analysis approach to estimate brain effective connectivity and its application to epileptic seizure detection. 脑有效连通性模糊敏感性分析方法及其在癫痫发作检测中的应用。

IF 1.7 4区医学

Biomedical Engineering / Biomedizinische Technik Pub Date : 2021-12-20 Print Date: 2022-02-23 DOI: 10.1515/bmt-2021-0058

Nader Moharamzadeh, Ali Motie Nasrabadi

{"title":"A fuzzy sensitivity analysis approach to estimate brain effective connectivity and its application to epileptic seizure detection.","authors":"Nader Moharamzadeh, Ali Motie Nasrabadi","doi":"10.1515/bmt-2021-0058","DOIUrl":"https://doi.org/10.1515/bmt-2021-0058","url":null,"abstract":"The brain is considered to be the most complicated organ in human body. Inferring and quantification of effective (causal) connectivity among regions of the brain is an important step in characterization of its complicated functions. The proposed method is comprised of modeling multivariate time series with Adaptive Neurofuzzy Inference System (ANFIS) and carrying out a sensitivity analysis using Fuzzy network parameters as a new approach to introduce a connectivity measure for detecting causal interactions between interactive input time series. The results of simulations indicate that this method is successful in detecting causal connectivity. After validating the performance of the proposed method on synthetic linear and nonlinear interconnected time series, it is applied to epileptic intracranial Electroencephalography (EEG) signals. The result of applying the proposed method on Freiburg epileptic intracranial EEG data recorded during seizure shows that the proposed method is capable of discriminating between the seizure and non-seizure states of the brain.","PeriodicalId":8900,"journal":{"name":"Biomedical Engineering / Biomedizinische Technik","volume":"67 1","pages":"19-32"},"PeriodicalIF":1.7,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39761770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Endoscopic confocal laser-microscopy for the intraoperative nerve recognition: is it feasible? 内镜共聚焦激光显微术中神经识别是否可行?

IF 1.7 4区医学

Biomedical Engineering / Biomedizinische Technik Pub Date : 2021-12-17 Print Date: 2022-02-23 DOI: 10.1515/bmt-2021-0171

David Benjamin Ellebrecht, Sönke von Weihe

{"title":"Endoscopic confocal laser-microscopy for the intraoperative nerve recognition: is it feasible?","authors":"David Benjamin Ellebrecht, Sönke von Weihe","doi":"10.1515/bmt-2021-0171","DOIUrl":"https://doi.org/10.1515/bmt-2021-0171","url":null,"abstract":"Surgeons lose most of their tactile tissue information during minimal invasive surgery and need an additional tool of intraoperative tissue recognition. Confocal laser microscopy (CLM) is a well-established method of tissue investigation. The objective of this study was to analyze the feasibility and diagnostic accuracy of CLM nervous tissue recognition. Images taken with an endoscopic CLM system of sympathetic ganglions, nerve fibers and pleural tissue were characterized in terms of specific signal-patterns ex-vivo. No fluorescent dye was used. Diagnostic accuracy of tissue classification was evaluated by newly trained observers (sensitivity, specificity, PPV, NPV and interobserver variability). Although CLM images showed low CLM image contrast, assessment of nerve tissue was feasible without any fluorescent dye. Sensitivity and specificity ranged between 0.73 and 0.9 and 0.55-1.0, respectively. PPVs were 0.71-1.0 and the NPV range was between 0.58 and 0.86. The overall interobserver variability was 0.36. The eCLM enables to evaluate nervous tissue and to distinguish between nerve fibers, ganglions and pleural tissue based on backscattered light. However, the low image contrast and the heterogeneity in correct tissue diagnosis and a fair interobserver variability indicate the limit of CLM imaging without any fluorescent dye.","PeriodicalId":8900,"journal":{"name":"Biomedical Engineering / Biomedizinische Technik","volume":"67 1","pages":"11-17"},"PeriodicalIF":1.7,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39818788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0